NDLI: Image registration and object recognition by affine invariant matching

Content Provider	IEEE Xplore Digital Library
Author	Wen-Jing Li Tong Lee
Copyright Year	2001
Description	Author affiliation: Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China (Wen-Jing Li)
Abstract	This paper is concerned with the problem of feature point registration and scene recognition from images under weak perspective transformations, which can be approximated by affine transformations, under possible occlusions of the objects. The image can be represented as a set of feature points extracted from the outside contour of the objects, or the convex hull of scattered feature points. A second order Hopfield network model is constructed to establish the correspondence between the feature points of a test image with a reference image in order to recover the affine transformation between them. The differences of triangle area ratios between every 4 pair of points are used as compatibility constraints embedded in the energy function. The method has been tested on a series of real images and performs very well.
Starting Page	56
Ending Page	59
File Size	462744
Page Count	4
File Format	PDF
ISBN	9628576623
DOI	10.1109/ISIMP.2001.925330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration Image segmentation Image recognition Minimization methods Layout Scattering Immunity testing Feature extraction Object recognition Spline
Content Type	Text
Resource Type	Article

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